Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/sumo1/ai-game-cool/memory-masternpx skills add sumo1/AI-GAME-COOL --skill memory-mastergit clone --depth 1 https://github.com/sumo1/AI-GAME-COOLWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sumo1/ai-game-cool/memory-master)<a href="https://agentmods.dev/skills/sumo1/ai-game-cool/memory-master"><img src="https://agentmods.dev/badge/skills/sumo1/ai-game-cool/memory-master.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.00525 |
| Opus 5 | $0.00017 | $0.00262 |
| Sonnet 5 | $0.00007 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
memory-master scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
记忆大师
卡片配对翻牌记忆游戏，支持多种主题（动物/太空/海洋），适合 4-10 岁儿童。
何时使用
用户提到记忆、翻牌、配对、卡片匹配、专注力训练等关键词时激活此 Skill。
生成步骤
- 根据年龄和难度确定卡片对数（4-6 岁: 4-6 对, 6-8 岁: 6-8 对, 8-10 岁: 8-10 对）
- 参考
assets/template.html的翻牌动画和配对逻辑 - 根据用户需求调整：
- 卡片主题（动物/太空/海洋/恐龙/水果等 emoji）
- 网格布局（3 列/4 列/5 列）
- 匹配后的动画效果
- 是否需要计时器或步数限制
- 调用 generateGame 生成完整 HTML
- 调用 evaluateGame 检查质量
评估重点
- 卡片翻转动画是否流畅自然
- 同时只能翻开两张卡片，不能多翻
- 匹配成功的卡片保持显示，失败的自动翻回
- 步数和配对数正确计数
- 全部配对后有胜利提示
- 重新开始能正确重置游戏状态
- 所有卡片在可见区域内，不越界
常见问题
- 翻牌动画卡死 → 检查 CSS transition 和 JS 状态锁，确保翻牌完成后 isFlipping 标志重置
- 配对逻辑错误 → 验证卡片匹配判断使用 data 属性而非 DOM 位置，确保同一张卡片不能自我配对
- 卡片布局溢出 → 使用 CSS Grid 并限制 grid 容器高度，避免 aspect-ratio 导致卡片撑出视口
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 45 lines · 34 tokens per session scan A 854dd0b72fdd
memory-master is a skill published in the GitHub repository sumo1/AI-GAME-COOL (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 525 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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